[Fix] Fix typos and error in comments (#308)

* fix bug caused by mmcv upgrade; delete pdb breakpoint

* fix typos

configs/_base_/models/centerpoint_01voxel_second_secfpn_nus.py

@@ -52,7 +52,7 @@ model = dict(
             out_size_factor=8,
             voxel_size=voxel_size[:2],
             code_size=9),
-        seperate_head=dict(
+        separate_head=dict(
             type='SeparateHead', init_bias=-2.19, final_kernel=3),
         loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
         loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25),

configs/_base_/models/centerpoint_02pillar_second_secfpn_nus.py

@@ -51,7 +51,7 @@ model = dict(
             out_size_factor=4,
             voxel_size=voxel_size[:2],
             code_size=9),
-        seperate_head=dict(
+        separate_head=dict(
             type='SeparateHead', init_bias=-2.19, final_kernel=3),
         loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
         loss_bbox=dict(type='L1Loss', reduction='mean', loss_weight=0.25),

configs/centerpoint/centerpoint_0075voxel_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_0075voxel_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

configs/centerpoint/centerpoint_0075voxel_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_0075voxel_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

configs/centerpoint/centerpoint_01voxel_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_01voxel_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

configs/centerpoint/centerpoint_01voxel_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_01voxel_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

configs/centerpoint/centerpoint_02pillar_second_secfpn_dcn_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_02pillar_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

configs/centerpoint/centerpoint_02pillar_second_secfpn_dcn_circlenms_4x8_cyclic_20e_nus.py

@@ -2,8 +2,8 @@ _base_ = ['./centerpoint_02pillar_second_secfpn_4x8_cyclic_20e_nus.py']
 
 model = dict(
     pts_bbox_head=dict(
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

mmdet3d/models/dense_heads/centerpoint_head.py

@@ -119,8 +119,8 @@ class SeparateHead(nn.Module):
 
 
 @HEADS.register_module()
-class DCNSeperateHead(nn.Module):
-    r"""DCNSeperateHead for CenterHead.
+class DCNSeparateHead(nn.Module):
+    r"""DCNSeparateHead for CenterHead.
 
     .. code-block:: none
             /-----> DCN for heatmap task -----> heatmap task.
@@ -155,7 +155,7 @@ class DCNSeperateHead(nn.Module):
                  norm_cfg=dict(type='BN2d'),
                  bias='auto',
                  **kwargs):
-        super(DCNSeperateHead, self).__init__()
+        super(DCNSeparateHead, self).__init__()
         if 'heatmap' in heads:
             heads.pop('heatmap')
         # feature adaptation with dcn
@@ -250,7 +250,7 @@ class CenterHead(nn.Module):
             Default: dict(type='GaussianFocalLoss', reduction='mean').
         loss_bbox (dict): Config of regression loss function.
             Default: dict(type='L1Loss', reduction='none').
-        seperate_head (dict): Config of seperate head. Default: dict(
+        separate_head (dict): Config of separate head. Default: dict(
             type='SeparateHead', init_bias=-2.19, final_kernel=3)
         share_conv_channel (int): Output channels for share_conv_layer.
             Default: 64.
@@ -273,7 +273,7 @@ class CenterHead(nn.Module):
                  loss_cls=dict(type='GaussianFocalLoss', reduction='mean'),
                  loss_bbox=dict(
                      type='L1Loss', reduction='none', loss_weight=0.25),
-                 seperate_head=dict(
+                 separate_head=dict(
                      type='SeparateHead', init_bias=-2.19, final_kernel=3),
                  share_conv_channel=64,
                  num_heatmap_convs=2,
@@ -312,9 +312,9 @@ class CenterHead(nn.Module):
         for num_cls in num_classes:
             heads = copy.deepcopy(common_heads)
             heads.update(dict(heatmap=(num_cls, num_heatmap_convs)))
-            seperate_head.update(
+            separate_head.update(
                 in_channels=share_conv_channel, heads=heads, num_cls=num_cls)
-            self.task_heads.append(builder.build_head(seperate_head))
+            self.task_heads.append(builder.build_head(separate_head))
 
     def init_weights(self):
         """Initialize weights."""

mmdet3d/models/fusion_layers/point_fusion.py

@@ -291,7 +291,7 @@ class PointFusion(nn.Module):
 
         Args:
             img_feats (torch.Tensor): Image feature map in shape
-                (N, C, H, W).
+                (1, C, H, W).
             pts (torch.Tensor): Points of a single sample.
             img_meta (dict): Meta information of the single sample.
 

tests/test_models/test_forward.py

 """Test model forward process.
 
 CommandLine:
-    pytest tests/test_forward.py
-    xdoctest tests/test_forward.py zero
+    pytest tests/test_models/test_forward.py
+    xdoctest tests/test_models/test_forward.py zero
 """
 import copy
 import numpy as np

tests/test_models/test_heads/test_heads.py

@@ -806,8 +806,8 @@ def test_dcn_center_head():
             out_size_factor=4,
             voxel_size=voxel_size[:2],
             code_size=9),
-        seperate_head=dict(
-            type='DCNSeperateHead',
+        separate_head=dict(
+            type='DCNSeparateHead',
             dcn_config=dict(
                 type='DCN',
                 in_channels=64,

tests/test_utils/test_anchors.py

 """
 CommandLine:
-    pytest tests/test_anchor.py
-    xdoctest tests/test_anchor.py zero
+    pytest tests/test_utils/test_anchor.py
+    xdoctest tests/test_utils/test_anchor.py zero
 
 """
 import torch

tests/test_utils/test_assigners.py

 """Tests the Assigner objects.
 
 CommandLine:
-    pytest tests/test_assigner.py
-    xdoctest tests/test_assigner.py zero
+    pytest tests/test_utils/test_assigner.py
+    xdoctest tests/test_utils/test_assigner.py zero
 """
 import torch